Revolutionizing Medicine through Machine Learning and Artificial Intelligence
Speaker: Mihaela van der Schaar, UCLA, University of Oxford and Alan Turing Institute
Location: 60 Fifth Avenue 150
Date: April 3, 2017, 2 p.m.
Host: Subhash Khot
In this talk, I will describe some of my research on machine learning for personalized medicine. Because of the unique and complex characteristics of medical data and medical questions, many familiar machine-learning approaches are inadequate. My work therefore develops and applies novel machine learning methods to construct risk scores, early warning systems and clinical decision support systems for screening and diagnosis and for prognosis and treatment. This work achieves enormous improvements over current clinical practice and over existing state-of-the-art machine learning methods. By design, these systems are easily interpretable and so allow clinicians to extract from data the necessary knowledge and representations to derive data-driven medical epistemology and to permit easy adoption in hospitals and clinical practice. My team has collaborated with researchers and clinicians in oncology, emergency care, cardiology, transplantation, internal medicine, etc. You can find more information about our past research at: http://medianetlab.ee.ucla.edu/MedAdvance.
Mihaela van der Schaar is the Man Professor, Oxford-Man Institute, Department of Engineering Science, University of Oxford and Chancellor's Professor at University of California, Los Angeles. She is also affiliated with the Alan Turing Institute and the Farr Institute of Health Informatics Research. Her main research interest is on machine learning and artificial intelligence for medicine. She is an IEEE Fellow (2009) and has been a Distinguished Lecturer of the Communications Society, the Editor in Chief of IEEE Transactions on Multimedia, and member of the Senior Editorial Board member of IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) and IEEE Journal on Selected Topics in Signal Processing (JSTSP). She received an NSF CAREER Award (2004), the Best Paper Award from IEEE Transactions on Circuits and Systems for Video Technology (2005), the Okawa Foundation Award (2006), the IBM Faculty Award (2005, 2007, 2008), the Most Cited Paper Award from EURASIP: Image Communications Journal (2006), the Gamenets Conference Best Paper Award (2011) and the 2011 IEEE Circuits and Systems Society Darlington Best Paper Award. She holds 33 US patents.
In-person attendance only available to those with active NYU ID cards. All individuals must show the Daily Screener green pass in order to gain entry to the building.